/* Copyright 2018 The TensorFlow Authors. All Rights Reserved.

Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at

    http://www.apache.org/licenses/LICENSE-2.0

Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.
==============================================================================*/
#ifndef TENSORFLOW_CORE_COMMON_RUNTIME_EAGER_EXECUTE_H_
#define TENSORFLOW_CORE_COMMON_RUNTIME_EAGER_EXECUTE_H_

#include "tensorflow/core/common_runtime/device.h"
#include "tensorflow/core/common_runtime/eager/context.h"
#include "tensorflow/core/common_runtime/eager/eager_operation.h"
#include "tensorflow/core/common_runtime/eager/kernel_and_device.h"
#include "tensorflow/core/common_runtime/eager/tensor_handle.h"
#include "tensorflow/core/framework/step_stats.pb.h"
#include "tensorflow/core/lib/core/status.h"
#include "tensorflow/core/lib/gtl/inlined_vector.h"

namespace tensorflow {

// Utility function that executes a fully constructed EagerOperation.
Status EagerExecute(
    EagerOperation* op,
    tensorflow::gtl::InlinedVector<tensorflow::TensorHandle*, 2>* retvals,
    int* num_retvals);

// Low-level utility to execute the kernel specified by kernel on device device,
// with the inputs op_inputs, in the context ctx.
Status EagerExecute(EagerContext* ctx, Device* device,
                    const gtl::InlinedVector<TensorHandle*, 4>& op_inputs,
                    KernelAndDevice* kernel, NodeExecStats* maybe_stats,
                    TensorHandle** retvals, int num_retvals);

// Low-level utility to copy a tensor handle from one device to another.
Status EagerCopyToDevice(TensorHandle* h, EagerContext* ctx,
                         const char* device_name, TensorHandle** result);

}  // namespace tensorflow

#endif  // TENSORFLOW_CORE_COMMON_RUNTIME_EAGER_EXECUTE_H_
